Rapid molecular diagnosis for brain tumors using advanced imaging techniques
Clinical Translation of Stimulated Raman Histology
This study is working on a quick and easy way to identify brain tumors using a special imaging technique and artificial intelligence, so doctors can make better treatment choices for patients in just two minutes.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | New York University School of Medicine NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project ID | NIH-10914906 on NIH RePORTER |
What this research studies
This research focuses on developing a fast and efficient system for molecular classification of brain tumors, which can significantly improve treatment decisions. By utilizing a novel imaging technique called stimulated Raman histology combined with artificial intelligence, the goal is to provide rapid diagnostic results in under two minutes. This approach aims to streamline the process of identifying the most effective treatment options for patients, whether that involves aggressive surgery or conservative management with adjuvant therapies. The research also seeks to enhance clinical trial designs by quickly identifying eligible participants based on their tumor's molecular characteristics.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients diagnosed with diffuse gliomas who require surgical intervention or are being considered for clinical trials.
Not a fit: Patients with brain tumors that are not diffuse gliomas or those who are not undergoing surgical treatment may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to quicker and more accurate treatment decisions for brain tumor patients, potentially improving their outcomes.
How similar studies have performed: Other research has shown promising results using similar rapid diagnostic approaches, indicating potential for success in this novel application.
Where this research is happening
New York, United States
- New York University School of Medicine — New York, United States (Active)
Researchers
- Principal investigator: Orringer, Daniel — New York University School of Medicine
- Study coordinator: Orringer, Daniel
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.